A Systematic Review of the Use of Artificial Intelligence in Managing Innovation in E-Government Organizations Worldwide

Abstract

Purpose: This paper delivers a methodical literature review that focuses on the application of artificial intelligence (AI) to handle innovation within e-government organizations globally.
 Methodology: Showcasing meticulousness, the review utilized a structured method to scrutinize 11 academic studies obtained from established, globally renowned databases, such as Scopus and Web of Science.
 Findings: The findings underscore an expansive array of AI applications within e-government's innovation management, incorporating data-led decision processes, chatbots for effective consumer service, sentiment inspection for useful citizen critique, and predictive analysis for service refinement. Conversely, incorporating AI within e-government establishments encounters considerable hurdles regarding data presence and integrity, transparency and interoperability concerns, ethical considerations, as well as sustainability and expansion challenges. The review strongly underlines the necessity for calculated investments towards resource augmentation and technological infrastructure.
 Unique Contribution to Theory, Practice and Policy: The integration of artificial intelligence (AI) into e-government innovation may shape the direction of ensuing research in digital governance and public administration. Beneficiaries of the comprehensive insights this scholarly study offers include e-government experts, scholars, and tech innovators hailing from manifold geographical spaces. The findings of this study could be resourceful for top-tier decision-makers in national and local e-government organizations, allowing them to refine their strategies for AI amalgamation and enhance service provision.